MBSE (Model-Based Systems Engineering) is a methodology that uses formal models — rather than documents — to capture requirements, define functional architectures, and conduct simulation-based verification. For UAV design, MBSE frameworks begin with an operational concept (ConOps) and proceed through multi-viewpoint modeling using SysML and simulation using tools such as Modelica, enabling concept verification and metric closure-loop at the earliest design stages, thereby reducing technical risks and shortening design cycles.

The most important SysML diagram types for UAV architecture are block definition diagrams (BDD), internal block diagrams (IBD), activity diagrams, parametric diagrams, and requirement diagrams. BDDs define the six fundamental architectural elements of a UAV system — air vehicle platform, payload, control elements, communications, support equipment, and human factors. IBDs specify interface relationships and data flows between those elements. Activity diagrams address behavioral modeling, capturing task execution under uncertain environments.

Standard SysML diagrams alone cannot capture environmental uncertainty, domain-specific thread mechanisms, and internal/external communication performance. UML profile extensions are required to correctly capture these UAV-specific characteristics. AVIC Xi'an's SysML modeling method (2021) demonstrates that extending the UML metamodel and defining domain-specific data types is necessary to yield both a structural-viewpoint model and a behavioral-viewpoint model that resolves the known limitation of macroscopic structural models that cannot represent task execution under uncertain environments.

RFLP stands for Requirements–Functional–Logical–Physical decomposition. In MBSE-based integrated aircraft design (Harbin Institute of Technology, 2023), requirements modeling captures mission needs; logical architecture defines functional decomposition and inter-subsystem flow relationships; physical architecture refines component structures and interfaces; a component library supports configuration selection; and joint simulation validates dynamic performance metrics. This pattern is becoming a standard MBSE workflow across UAV and aerospace system design.

The aMBSE approach introduced by Nanjing University of Aeronautics and Astronautics (2021) adds small iterative loops throughout the design process to catch design errors before verification, explicitly reducing large costly redesign cycles. Stakeholder requirements are transformed into system requirements and use cases; confirmed use cases are translated into executable black-box models whose dynamic simulation verifies requirements compliance; alternative architecture candidates are generated and evaluated for optimality; and finally, the system-level black-box model is incrementally decomposed into subsystem-level white-box models.

Yes. MBSE scope extends to the full UAS enterprise. Ground control stations, command-and-control architectures, and multi-UAV coordination systems all benefit from the MBSE/SysML approach. China Aviation Radio Electronics Research Institute's ground station architecture (2019) demonstrates an MBSE-driven development process for UAV ground stations, while AVIC Chengdu's functional requirements analysis method (2021) addresses multi-UAV coordination, manned/unmanned teaming, and AI-based mission functions.